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<p>In an era of accelerated technology transfer, advanced digital tools are reshaping how textile startups build capabilities for resilient and sustainable supply chains. Within this context, the integration of the artificial intelligence (AI) Web 3.0 ecosystem has become crucial. This technology is likely to empower different textile startups. In this regard, focus is given on the role of AI in enhancing resilience in the supply chain (SC). In this regard, the role of big data analytics and metaverse adoption has also been identified. These technologies are likely to promote smart circular systems capabilities (SCSC) via resource optimization and predictive analytics. This study aims to evaluate the mediation of supply chain innovativeness (SCI) in the relationship between SCSC and supply chain resilience (SCR). In addition, the moderation of SC capabilities and big data-driven SC has also been identified. The results obtained from this study showed that various Web 3.0 tools, such as BDAC, AI, and Metaverse, have a significant impact on Smart circular systems. At the same time, SCI is also considered to be impacted by Smart circular systems' capability. The findings of the study further emphasize that SCI serves as a crucial mediator between capabilities in the areas of SCSC and resilience. This study also contributed to the understanding of BDAC in SC management. This research has also broadened the concepts of “the dynamic capability theory and technology-organization-environment theory.” In this regard, the association between technology, capabilities, and environmental pressures is determined. This association is found to be effective in enhancing SCR. The study also situates these emerging Web 3.0 technologies within the broader technology transfer process, illustrating how the diffusion and absorption of AI, BDAC, and metaverse capabilities enable textile startups to build the dynamic competencies required for resilient and circular supply chains. Moreover, the findings of this study can encourage textile startups to increase their holistic adaptability. These technologies run in conjunction to help improve decision-making, forecasting, and efficiency of resources. As a result, a more resilient and sustainable ecosystem is formed.</p>

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Driving the change: artificial intelligence and Web3 technologies as enablers of smart circular and resilient supply chains

  • 期刊论文

  • 发表日期：

    2026年5月9日

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  • Khalid Mehmood,
  • Qasim Ali Nisar,
  • Rsha Alghafes,
  • Manlio Del Giudice

摘要

In an era of accelerated technology transfer, advanced digital tools are reshaping how textile startups build capabilities for resilient and sustainable supply chains. Within this context, the integration of the artificial intelligence (AI) Web 3.0 ecosystem has become crucial. This technology is likely to empower different textile startups. In this regard, focus is given on the role of AI in enhancing resilience in the supply chain (SC). In this regard, the role of big data analytics and metaverse adoption has also been identified. These technologies are likely to promote smart circular systems capabilities (SCSC) via resource optimization and predictive analytics. This study aims to evaluate the mediation of supply chain innovativeness (SCI) in the relationship between SCSC and supply chain resilience (SCR). In addition, the moderation of SC capabilities and big data-driven SC has also been identified. The results obtained from this study showed that various Web 3.0 tools, such as BDAC, AI, and Metaverse, have a significant impact on Smart circular systems. At the same time, SCI is also considered to be impacted by Smart circular systems' capability. The findings of the study further emphasize that SCI serves as a crucial mediator between capabilities in the areas of SCSC and resilience. This study also contributed to the understanding of BDAC in SC management. This research has also broadened the concepts of “the dynamic capability theory and technology-organization-environment theory.” In this regard, the association between technology, capabilities, and environmental pressures is determined. This association is found to be effective in enhancing SCR. The study also situates these emerging Web 3.0 technologies within the broader technology transfer process, illustrating how the diffusion and absorption of AI, BDAC, and metaverse capabilities enable textile startups to build the dynamic competencies required for resilient and circular supply chains. Moreover, the findings of this study can encourage textile startups to increase their holistic adaptability. These technologies run in conjunction to help improve decision-making, forecasting, and efficiency of resources. As a result, a more resilient and sustainable ecosystem is formed.